Geron (GERN) Operating Expenses (2010 - 2026)
Geron (GERN) recorded Operating Expenses of $69.98 million in Q2 2026, up 13.8% from $61.49 million a year earlier and up 35.4% from the prior quarter.
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Analysis
Geron (GERN) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Geron's Operating Expenses came in at $256.32 million as of Jun 30, 2026, up 6.0% year-over-year; for FY2025, it was $252.47 million, up 0.7% from FY2024.
- Annual Operating Expenses has increased for eight straight years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $250.73 million in FY2024 (+29.1%), $194.18 million in FY2023 (+39.6%), $139.15 million in FY2022 (+20.6%) and $115.39 million in FY2021 (+49.5%).
- Quarterly Operating Expenses has ranged from $25.78 million in Q3 2021 to $73.56 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 6.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 85.3% in Q2 2023, against a decline of 12.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.68 million (Q1 2026), $73.56 million (Q4 2025) and $61.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Geron | 763.84 Mn | -587.86 Mn | - | 69.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.98 Mn |
| Mar 31, 2026 | 51.68 Mn |
| Dec 31, 2025 | 73.56 Mn |
| Sep 30, 2025 | 61.11 Mn |
| Jun 30, 2025 | 61.49 Mn |
| Mar 31, 2025 | 56.31 Mn |
| Dec 31, 2024 | 67.59 Mn |
| Sep 30, 2024 | 56.49 Mn |
| Jun 30, 2024 | 70.22 Mn |
| Mar 31, 2024 | 56.44 Mn |
| Dec 31, 2023 | 54.31 Mn |
| Sep 30, 2023 | 47.78 Mn |
| Jun 30, 2023 | 51.98 Mn |
| Mar 31, 2023 | 40.11 Mn |
| Dec 31, 2022 | 42.05 Mn |
| Sep 30, 2022 | 40.25 Mn |
| Jun 30, 2022 | 28.05 Mn |
| Mar 31, 2022 | 28.80 Mn |
| Dec 31, 2021 | 32.02 Mn |
| Sep 30, 2021 | 25.78 Mn |
API Access
Geron Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=GERN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GERN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GERN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();